diff --git a/commonFunctions/sensors/NoiseAnalysis/Functions/NoiseAnalysis_colored.m b/commonFunctions/sensors/NoiseAnalysis/Functions/NoiseAnalysis_colored.m
new file mode 100644
index 0000000000000000000000000000000000000000..d525ae57e4b01e1abf43083b7b39d76fa16b018e
--- /dev/null
+++ b/commonFunctions/sensors/NoiseAnalysis/Functions/NoiseAnalysis_colored.m
@@ -0,0 +1,106 @@
+function [sensor_vect] = NoiseAnalysis_colored(sensor_vect, sensor_number, track, plot_val)
+
+fprintf("Sensor analyzed: %s, track: %d and noise type: %s\n\n", sensor_vect(sensor_number).name, track, sensor_vect(sensor_number).noise_type);
+
+name = sensor_vect(sensor_number).name;
+fs = sensor_vect(sensor_number).fs;
+
+b_left = sensor_vect(sensor_number).bounds(1);
+b_right = sensor_vect(sensor_number).bounds(2);
+
+white_variance = sensor_vect(sensor_number).colored_data.white_variance;
+fcut = sensor_vect(sensor_number).colored_data.fcut;
+butterOrder = sensor_vect(sensor_number).colored_data.butterOrder;
+
+
+%% Noise extraction
+A = importdata(name).data;
+signal = A(:,track);
+
+cut_left = ceil(length(signal)*b_left);
+cut_right = ceil(length(signal)*b_right);
+signal = signal(cut_left:cut_right);
+
+filtered_signal = movmean(signal, fs);
+
+% Plots
+bound = 15;
+y_min = min(min(signal), min(filtered_signal));
+y_max = max(max(signal), max(filtered_signal));
+if plot_val
+ figure(2)
+ subplot(1,2,1), hold on, grid on, title("Unfiltered signal"), xlabel("Samples [-]"), ylabel("Value"), ylim([y_min y_max])
+ plot(signal)
+ subplot(1,2,2), hold on, grid on, title("Filtered signal"), xlabel("Samples [-]"), ylabel("Value"), ylim([y_min y_max])
+ plot(filtered_signal(bound:end-bound)) % removed boundaries
+end
+
+% Noise extraction
+noise = signal(bound:end-bound) - filtered_signal(bound:end-bound);
+
+% fft of noise
+tf = length(noise)/fs;
+t = 0:1/fs:tf;
+[G_n,f] = dft(noise,t);
+
+if plot_val
+ figure(3)
+ subplot(1,2,1), hold on, hold on, grid on, title("Real noise"), xlabel("f [Hz]"), ylabel("|fft(X)|")
+ plot(f,abs(G_n))
+end
+
+
+%% Colored noise creator
+white_noise = sqrt(white_variance)*randn(size(t));
+
+[b, a] = butter(butterOrder, fcut, 'low');
+pink_noise = filter(b, a, white_noise);
+noise_modeled = pink_noise;
+
+
+%% Final plots
+[G_test,f] = dft(noise_modeled,t);
+if plot_val
+ figure(3)
+ subplot(1,2,2), hold on, hold on, grid on, title("Modeled noise"), xlabel("f [Hz]"), ylabel("|fft(X)|")
+ plot(f,abs(G_test))
+end
+
+y_min = min(min(noise), min(noise));
+y_max = max(max(noise_modeled), max(noise_modeled));
+
+if plot_val
+ figure(4)
+ subplot(1,2,1), hold on, grid on, title("Real noise"), xlabel("Samples [-]"), ylabel("Value"), ylim([y_min y_max])
+ plot(noise)
+ subplot(1,2,2), hold on, grid on, title("Modeled noise"), xlabel("Samples [-]"), ylabel("Value"), ylim([y_min y_max])
+ plot(noise_modeled)
+end
+
+
+%% Data
+
+if ~plot_val
+ tracks = sensor_vect(sensor_number).tracks;
+ if tracks(1) >= 6
+ track = track - (tracks(1) - 2);
+ end
+ switch track
+ case 2
+ sensor_vect(sensor_number).track1.white_variance = white_variance*sensor_vect(sensor_number).factor;
+ sensor_vect(sensor_number).track1.fcut = fcut;
+ sensor_vect(sensor_number).track1.butterOrder = butterOrder;
+ case 3
+ sensor_vect(sensor_number).track2.white_variance = white_variance*sensor_vect(sensor_number).factor;
+ sensor_vect(sensor_number).track2.fcut = fcut;
+ sensor_vect(sensor_number).track2.butterOrder = butterOrder;
+ case 4
+ sensor_vect(sensor_number).track3.white_variance = white_variance*sensor_vect(sensor_number).factor;
+ sensor_vect(sensor_number).track3.fcut = fcut;
+ sensor_vect(sensor_number).track3.butterOrder = butterOrder;
+ end
+end
+
+
+end
+
diff --git a/commonFunctions/sensors/NoiseAnalysis/Functions/NoiseAnalysis_pink.m b/commonFunctions/sensors/NoiseAnalysis/Functions/NoiseAnalysis_pink.m
index a1fd16d2606398e88a0f156b9db0a8e8169bf07f..9daf7a7fb24c94bca092a2397dfcb508decb409d 100644
--- a/commonFunctions/sensors/NoiseAnalysis/Functions/NoiseAnalysis_pink.m
+++ b/commonFunctions/sensors/NoiseAnalysis/Functions/NoiseAnalysis_pink.m
@@ -8,12 +8,13 @@ fs = sensor_vect(sensor_number).fs;
b_left = sensor_vect(sensor_number).bounds(1);
b_right = sensor_vect(sensor_number).bounds(2);
+white_variance = sensor_vect(sensor_number).colored_data.white_variance;
+fcut = sensor_vect(sensor_number).colored_data.fcut;
+butterOrder = sensor_vect(sensor_number).colored_data.butterOrder;
-%% Magic values
+
+%% Magic value
temp_val = 0.1;
-butterOrder = 1;
-fcut = 0.3;
-white_variance = 15;
%% Noise extraction
diff --git a/commonFunctions/sensors/NoiseAnalysis/main_noiseAnalysis.m b/commonFunctions/sensors/NoiseAnalysis/main_noiseAnalysis.m
index 833acbee00b1a18bb7d1d8358dfc3089a42cc307..87c440573e25e3c8e3634f8b474de65accc91048 100644
--- a/commonFunctions/sensors/NoiseAnalysis/main_noiseAnalysis.m
+++ b/commonFunctions/sensors/NoiseAnalysis/main_noiseAnalysis.m
@@ -16,7 +16,12 @@ clear, clc
close all
sensor_single.name = "motor_Motor_CCPressureData.csv";
-sensor_single.noise_type = "white";
+sensor_single.noise_type = "colored";
+if strcmp(sensor_single.noise_type, "pink") || strcmp(sensor_single.noise_type, "colored")
+ sensor_single.colored_data.white_variance = 0.000025;
+ sensor_single.colored_data.fcut = 0.15;
+ sensor_single.colored_data.butterOrder = 1;
+end
sensor_single.track = 2;
sensor_single.fs = 100;
sensor_single.bound_left = 0.35;
@@ -39,6 +44,8 @@ if sensor_single.noise_type == "white"
sensor_vect = NoiseAnalysis_white(sensor_single, 1, sensor_single.track, 1);
elseif sensor_single.noise_type == "pink"
sensor_vect = NoiseAnalysis_pink(sensor_single, 1, sensor_single.track, 1);
+elseif sensor_single.noise_type == "colored"
+ sensor_vect = NoiseAnalysis_colored(sensor_single, 1, sensor_single.track, 1);
else
error("Noise type is neither 'white' nor 'pink'")
end
@@ -64,8 +71,10 @@ for sensor_num = 1:length(Lyra_Port_sensor_vect)
Lyra_Port_sensor_vect = NoiseAnalysis_white(Lyra_Port_sensor_vect, sensor_num, track, 0);
elseif Lyra_Port_sensor_vect(sensor_num).noise_type == "pink"
Lyra_Port_sensor_vect = NoiseAnalysis_pink(Lyra_Port_sensor_vect, sensor_num, track, 0);
+ elseif Lyra_Port_sensor_vect(sensor_num).noise_type == "colored"
+ Lyra_Port_sensor_vect = NoiseAnalysis_colored(Lyra_Port_sensor_vect, sensor_num, track, 0);
else
- error("Noise type is neither 'white' nor 'pink'")
+ error("Noise type is not 'white', 'pink' or 'colored'")
end
end
end
@@ -75,7 +84,7 @@ save(save_name, name)
%% 3 - fs
-name = "payload_Payload_StaticPressureData.csv";
+name = sensor_single.name;
track = 1; % timestamp track
timestamp = importdata(name).data;
diff --git a/commonFunctions/sensors/NoiseAnalysis/mat_creator.m b/commonFunctions/sensors/NoiseAnalysis/mat_creator.m
index c24e4ede4d0d2a379b0c8ac5f2ea1bdbfeb3ec2f..502d5e10c9f4a2f90e22e2f569a00355ac5783c4 100644
--- a/commonFunctions/sensors/NoiseAnalysis/mat_creator.m
+++ b/commonFunctions/sensors/NoiseAnalysis/mat_creator.m
@@ -3,61 +3,133 @@
clear, clc
close all
-Lyra_Port_sensor_vect(1).name = "main_Main_StaticPressureData1.csv";
-Lyra_Port_sensor_vect(1).info = "barometer1";
-Lyra_Port_sensor_vect(1).fs = 100;
-Lyra_Port_sensor_vect(1).noise_type = "pink";
-Lyra_Port_sensor_vect(1).bounds = [0.5 0.6];
-Lyra_Port_sensor_vect(1).tracks = 2;
-Lyra_Port_sensor_vect(1).factor = 0.01;
-
-Lyra_Port_sensor_vect(2).name = "main_Main_StaticPressureData2.csv";
-Lyra_Port_sensor_vect(2).info = "barometer2";
-Lyra_Port_sensor_vect(2).fs = 100;
-Lyra_Port_sensor_vect(2).noise_type = "pink";
-Lyra_Port_sensor_vect(2).bounds = [0.6 0.7];
-Lyra_Port_sensor_vect(2).tracks = 2;
-Lyra_Port_sensor_vect(2).factor = 0.01;
-
-Lyra_Port_sensor_vect(3).name = "main_Boardcore_LPS28DFWData.csv";
-Lyra_Port_sensor_vect(3).info = "barometer3";
-Lyra_Port_sensor_vect(3).fs = 50;
-Lyra_Port_sensor_vect(3).noise_type = "white";
-Lyra_Port_sensor_vect(3).bounds = [0.13 0.23];
-Lyra_Port_sensor_vect(3).tracks = 2;
-Lyra_Port_sensor_vect(3).factor = 0.01;
-
-Lyra_Port_sensor_vect(4).name = "main_Boardcore_LSM6DSRXData.csv";
-Lyra_Port_sensor_vect(4).info = "accelerometer";
-Lyra_Port_sensor_vect(4).fs = 440;
-Lyra_Port_sensor_vect(4).noise_type = "white";
-Lyra_Port_sensor_vect(4).bounds = [0.35 0.5];
-Lyra_Port_sensor_vect(4).tracks = [2 3 4];
-Lyra_Port_sensor_vect(4).factor = 1000/9.81;
-
-Lyra_Port_sensor_vect(5).name = "main_Boardcore_LSM6DSRXData.csv";
-Lyra_Port_sensor_vect(5).info = "initial gyroscope";
-Lyra_Port_sensor_vect(5).fs = 440;
-Lyra_Port_sensor_vect(5).noise_type = "white";
-Lyra_Port_sensor_vect(5).bounds = [0.35 0.5];
-Lyra_Port_sensor_vect(5).tracks = [6 7 8];
-Lyra_Port_sensor_vect(5).factor = 1000;
-
-Lyra_Port_sensor_vect(6).name = "motor_Motor_CCPressureData.csv";
-Lyra_Port_sensor_vect(6).info = "initial chamber pressure";
-Lyra_Port_sensor_vect(6).fs = 100;
-Lyra_Port_sensor_vect(6).noise_type = "white";
-Lyra_Port_sensor_vect(6).bounds = [0.35 0.5];
-Lyra_Port_sensor_vect(6).tracks = 2;
-Lyra_Port_sensor_vect(6).factor = 0.01;
-
-Lyra_Port_sensor_vect(7).name = "payload_Payload_StaticPressureData.csv";
-Lyra_Port_sensor_vect(7).info = "pitot (static + total)";
-Lyra_Port_sensor_vect(7).fs = 100;
-Lyra_Port_sensor_vect(7).noise_type = "pink";
-Lyra_Port_sensor_vect(7).bounds = [0.3 0.47];
-Lyra_Port_sensor_vect(7).tracks = 2;
-Lyra_Port_sensor_vect(7).factor = 0.01;
+% .colored_data.white_variance = 15
+% .colored_data.fcut = 0.3
+% .colored_data.butterOrder = 1
+
+ii = 1;
+
+% Ok, check factor
+Lyra_Port_sensor_vect(ii).name = "main_Boardcore_LIS2MDLData.csv";
+Lyra_Port_sensor_vect(ii).info = "Mag";
+Lyra_Port_sensor_vect(ii).fs = 100;
+Lyra_Port_sensor_vect(ii).noise_type = "pink";
+Lyra_Port_sensor_vect(ii).colored_data.white_variance = 0.00003;
+Lyra_Port_sensor_vect(ii).colored_data.fcut = 0.3;
+Lyra_Port_sensor_vect(ii).colored_data.butterOrder = 1;
+Lyra_Port_sensor_vect(ii).bounds = [0.5 0.7];
+Lyra_Port_sensor_vect(ii).tracks = [2 3 4];
+Lyra_Port_sensor_vect(ii).factor = 1000;
+
+ii = ii + 1;
+
+Lyra_Port_sensor_vect(ii).name = "main_Main_StaticPressureData1.csv";
+Lyra_Port_sensor_vect(ii).info = "barometer1";
+Lyra_Port_sensor_vect(ii).fs = 100;
+Lyra_Port_sensor_vect(ii).noise_type = "pink";
+Lyra_Port_sensor_vect(ii).colored_data.white_variance = 15;
+Lyra_Port_sensor_vect(ii).colored_data.fcut = 0.3;
+Lyra_Port_sensor_vect(ii).colored_data.butterOrder = 1;
+Lyra_Port_sensor_vect(ii).bounds = [0.5 0.6];
+Lyra_Port_sensor_vect(ii).tracks = 2;
+Lyra_Port_sensor_vect(ii).factor = 0.01;
+
+ii = ii + 1;
+
+Lyra_Port_sensor_vect(ii).name = "main_Main_StaticPressureData2.csv";
+Lyra_Port_sensor_vect(ii).info = "barometer2";
+Lyra_Port_sensor_vect(ii).fs = 100;
+Lyra_Port_sensor_vect(ii).noise_type = "pink";
+Lyra_Port_sensor_vect(ii).colored_data.white_variance = 15;
+Lyra_Port_sensor_vect(ii).colored_data.fcut = 0.3;
+Lyra_Port_sensor_vect(ii).colored_data.butterOrder = 1;
+Lyra_Port_sensor_vect(ii).bounds = [0.6 0.7];
+Lyra_Port_sensor_vect(ii).tracks = 2;
+Lyra_Port_sensor_vect(ii).factor = 0.01;
+
+ii = ii + 1;
+
+% Ok, check factor
+Lyra_Port_sensor_vect(ii).name = "payload_Payload_StaticPressureData.csv";
+Lyra_Port_sensor_vect(ii).info = "StaticPressure";
+Lyra_Port_sensor_vect(ii).fs = 100;
+Lyra_Port_sensor_vect(ii).noise_type = "pink";
+Lyra_Port_sensor_vect(ii).colored_data.white_variance = 30;
+Lyra_Port_sensor_vect(ii).colored_data.fcut = 0.3;
+Lyra_Port_sensor_vect(ii).colored_data.butterOrder = 1;
+Lyra_Port_sensor_vect(ii).bounds = [0.3 0.4];
+Lyra_Port_sensor_vect(ii).tracks = 2;
+Lyra_Port_sensor_vect(ii).factor = 0.01;
+
+ii = ii + 1;
+
+Lyra_Port_sensor_vect(ii).name = "payload_Payload_DynamicPressureData.csv";
+Lyra_Port_sensor_vect(ii).info = "DynamicPressure";
+Lyra_Port_sensor_vect(ii).fs = 100;
+Lyra_Port_sensor_vect(ii).noise_type = "colored";
+Lyra_Port_sensor_vect(ii).colored_data.white_variance = 12;
+Lyra_Port_sensor_vect(ii).colored_data.fcut = 0.05;
+Lyra_Port_sensor_vect(ii).colored_data.butterOrder = 1;
+Lyra_Port_sensor_vect(ii).bounds = [0.06 0.14];
+Lyra_Port_sensor_vect(ii).tracks = 2;
+Lyra_Port_sensor_vect(ii).factor = 0.01;
+
+ii = ii + 1;
+
+Lyra_Port_sensor_vect(ii).name = "main_Boardcore_LPS28DFWData.csv";
+Lyra_Port_sensor_vect(ii).info = "barometer3";
+Lyra_Port_sensor_vect(ii).fs = 50;
+Lyra_Port_sensor_vect(ii).noise_type = "white";
+Lyra_Port_sensor_vect(ii).bounds = [0.13 0.23];
+Lyra_Port_sensor_vect(ii).tracks = 2;
+Lyra_Port_sensor_vect(ii).factor = 0.01;
+
+ii = ii + 1;
+
+Lyra_Port_sensor_vect(ii).name = "main_Boardcore_LSM6DSRXData.csv";
+Lyra_Port_sensor_vect(ii).info = "accelerometer";
+Lyra_Port_sensor_vect(ii).fs = 440;
+Lyra_Port_sensor_vect(ii).noise_type = "white";
+Lyra_Port_sensor_vect(ii).bounds = [0.35 0.5];
+Lyra_Port_sensor_vect(ii).tracks = [2 3 4];
+Lyra_Port_sensor_vect(ii).factor = 1000/9.81;
+
+ii = ii + 1;
+
+Lyra_Port_sensor_vect(ii).name = "main_Boardcore_LSM6DSRXData.csv";
+Lyra_Port_sensor_vect(ii).info = "initial gyroscope";
+Lyra_Port_sensor_vect(ii).fs = 440;
+Lyra_Port_sensor_vect(ii).noise_type = "white";
+Lyra_Port_sensor_vect(ii).bounds = [0.35 0.5];
+Lyra_Port_sensor_vect(ii).tracks = [6 7 8];
+Lyra_Port_sensor_vect(ii).factor = 1000;
+
+ii = ii + 1;
+
+% Ok, check factor
+Lyra_Port_sensor_vect(ii).name = "motor_Motor_CCPressureData.csv";
+Lyra_Port_sensor_vect(ii).info = "initial chamber pressure";
+Lyra_Port_sensor_vect(ii).fs = 100;
+Lyra_Port_sensor_vect(ii).noise_type = "colored";
+Lyra_Port_sensor_vect(ii).colored_data.white_variance = 0.000025;
+Lyra_Port_sensor_vect(ii).colored_data.fcut = 0.15;
+Lyra_Port_sensor_vect(ii).colored_data.butterOrder = 1;
+Lyra_Port_sensor_vect(ii).bounds = [0.35 0.5];
+Lyra_Port_sensor_vect(ii).tracks = 2;
+Lyra_Port_sensor_vect(ii).factor = 0.01;
+
+ii = ii + 1;
+
+Lyra_Port_sensor_vect(ii).name = "payload_Payload_StaticPressureData.csv";
+Lyra_Port_sensor_vect(ii).info = "pitot (static + total)";
+Lyra_Port_sensor_vect(ii).fs = 100;
+Lyra_Port_sensor_vect(ii).noise_type = "pink";
+Lyra_Port_sensor_vect(ii).colored_data.white_variance = 15;
+Lyra_Port_sensor_vect(ii).colored_data.fcut = 0.3;
+Lyra_Port_sensor_vect(ii).colored_data.butterOrder = 1;
+Lyra_Port_sensor_vect(ii).bounds = [0.3 0.47];
+Lyra_Port_sensor_vect(ii).tracks = 2;
+Lyra_Port_sensor_vect(ii).factor = 0.01;
save("Lyra_Port_sensor_vect")
diff --git a/commonFunctions/sensors/Sensor1D.m b/commonFunctions/sensors/Sensor1D.m
index 8470de04db30177b2c4bf318142938a329bb8087..8c7f22615983149811af9f9c854f647cd8698bd4 100644
--- a/commonFunctions/sensors/Sensor1D.m
+++ b/commonFunctions/sensors/Sensor1D.m
@@ -20,6 +20,7 @@ classdef Sensor1D < handle
noiseType; % White (default) or Pink
noiseDataTrack1;
noiseFactor;
+ colored_opts;
noiseVariance; % Defining gaussian white noise
% offset
@@ -98,6 +99,13 @@ classdef Sensor1D < handle
else
error("Sensor not defined")
end
+
+ if strcmp(obj.noiseType, "colored")
+ obj.colored_opts.white_variance = vect(ii).colored_data.white_variance;
+ obj.colored_opts.fcut = vect(ii).colored_data.fcut;
+ obj.colored_opts.butterOrder = vect(ii).colored_data.butterOrder;
+ obj.colored_opts.filterStatus = 0;
+ end
else
if strcmp("Sensor1D", class(obj)) || strcmp("SensorFault", class(obj))
obj.noiseDataTrack1 = [];
@@ -149,6 +157,10 @@ classdef Sensor1D < handle
inputArg = inputArg + obj.noiseDataTrack1.peaks_vect_val(ii)*obj.noiseFactor*sin(2*pi*obj.noiseDataTrack1.peaks_vect_f(ii)*t + randn(1));
end
inputArg = inputArg + sqrt(obj.noiseDataTrack1.variance*obj.noiseFactor).*randn(length(inputArg),1);
+ elseif strcmp(obj.noiseType, "colored")
+ inputArg = inputArg + sqrt(obj.colored_opts.white_variance*obj.noiseFactor).*randn(length(inputArg),1);
+ [b, a] = butter(obj.colored_opts.butterOrder, obj.colored_opts.fcut, 'low');
+ [inputArg, obj.colored_opts.filterStatus] = filter(b, a, inputArg, obj.colored_opts.filterStatus);
else
error("This noise is not defined")
end
diff --git a/commonFunctions/sensors/Sensor3D.m b/commonFunctions/sensors/Sensor3D.m
index 14955ff159d208fe8956e981bd03b7b33916d497..bada2453af6fecca427344657d9d96c789eb80d6 100644
--- a/commonFunctions/sensors/Sensor3D.m
+++ b/commonFunctions/sensors/Sensor3D.m
@@ -142,6 +142,8 @@ classdef Sensor3D < Sensor1D
inputArg1 = inputArg1 + sqrt(obj.noiseDataTrack1.variance*obj.noiseFactor).*randn(length(inputArg1),1);
inputArg2 = inputArg2 + sqrt(obj.noiseDataTrack2.variance*obj.noiseFactor).*randn(length(inputArg2),1);
inputArg3 = inputArg3 + sqrt(obj.noiseDataTrack3.variance*obj.noiseFactor).*randn(length(inputArg3),1);
+ elseif strcmp(obj.noiseType, "colored")
+ error("Yet to be implemented")
else
error("This noise is not defined")
end
diff --git a/data/2024_Lyra_Portugal_October/Lyra_Port_sensor_vect_res.mat b/data/2024_Lyra_Portugal_October/Lyra_Port_sensor_vect_res.mat
index c315505e15c35d9721647dc0d0bbb9264d6f17f5..2c3b98ad9def8becb8ced991dfe7f38b560308d0 100644
Binary files a/data/2024_Lyra_Portugal_October/Lyra_Port_sensor_vect_res.mat and b/data/2024_Lyra_Portugal_October/Lyra_Port_sensor_vect_res.mat differ
diff --git a/data/2024_Lyra_Portugal_October/initSensors2024_Lyra_Portugal_October.m b/data/2024_Lyra_Portugal_October/initSensors2024_Lyra_Portugal_October.m
index b36ed6b6f36e8067a5659f97f9f9cfb080a6e446..303eb0421c5dd69ba03fbc9f506b4228ecbea70e 100644
--- a/data/2024_Lyra_Portugal_October/initSensors2024_Lyra_Portugal_October.m
+++ b/data/2024_Lyra_Portugal_October/initSensors2024_Lyra_Portugal_October.m
@@ -155,7 +155,7 @@ sensorSettings.comb_chamber.minMeasurementRange = 0;
sensorSettings.comb_chamber.resolution = 1; % random value stolen from baro
sensorSettings.comb_chamber.offset = 0;
-sensorSettings.comb_chamber.update(Lyra_Port_sensor_vect, "motor_Motor_TopTankPressureData.csv", 1);
+sensorSettings.comb_chamber.update(Lyra_Port_sensor_vect, "motor_Motor_CCPressureData.csv", 1);
%% pitot
@@ -171,7 +171,7 @@ sensorSettings.pitot_total = Sensor1D();
sensorSettings.pitot_total.maxMeasurementRange = 2*1034.21; % mbar (30 psi)
sensorSettings.pitot_total.minMeasurementRange = 0;
sensorSettings.pitot_total.bit = 12;
-sensorSettings.pitot_total.update(Lyra_Port_sensor_vect, "payload_Payload_StaticPressureData.csv", 1);
+sensorSettings.pitot_total.update(Lyra_Port_sensor_vect, "payload_Payload_DynamicPressureData.csv", 1);
%% total sensor initialization
%